Amazon Competitor Listing Analysis for Openclaw

A sophisticated AI-driven analysis tool that penetrates Amazon listings to extract keyword strategies, consumer sentiment, and market positioning data.

chanalii
v1.0.0
Mar 9, 2026
0
1.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install amazon-analyse

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install amazon-analyse using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Amazon Competitor Listing Analysis?

This skill provides a comprehensive framework for auditing Amazon listings by leveraging Sorftime MCP data. It acts as a senior brand strategist for Openclaw Skills, allowing developers and e-commerce professionals to dissect any ASIN across 14 global marketplaces. By analyzing copywriting logic, traffic sources, and historical trends, it transforms raw data into high-level strategic intelligence.

The tool focuses on four critical dimensions: The Brain (keyword logic), The Face (market positioning), The Voice (consumer sentiment), and The Pulse (market dynamics). This multi-dimensional approach ensures that users get more than just numbers; they receive a complete breakdown of a competitor's operational playbook and market vulnerabilities.

Amazon Competitor Listing Analysis Use Cases

  • Reverse-engineering competitor keyword strategies to improve listing SEO.
  • Identifying product defects and consumer pain points via automated review mining.
  • Tracking historical sales and price fluctuations to optimize product launch timing.
  • Generating white-label market research reports for brand management and stakeholders.

How Amazon Competitor Listing Analysis Works

  1. Validates the provided ASIN against the Sorftime database to ensure marketplace accuracy.
  2. Fetches core product metrics including monthly sales estimates, category rankings, and FBA status.
  3. Aggregates traffic-driving keywords and maps out competitor exposure across high-volume search terms.
  4. Analyzes the top 100 customer reviews to cluster positive attributes and recurring complaints.
  5. Compiles all findings into a structured Markdown report and saves it to the local reports directory for persistent storage.

Amazon Competitor Listing Analysis Setup

To utilize this tool within Openclaw Skills, ensure you have a valid Sorftime API key. The skill requires a local directory structure to save generated reports.

# Initialize the reports directory
mkdir -p reports/

# Set your Sorftime API Key environment variable
export SORFTIME_API_KEY="YOUR_API_KEY"

# Example usage via CLI (internal tool call)
# curl -X POST "https://mcp.sorftime.com?key=$SORFTIME_API_KEY" -d '{"method":"tools/call","params":{"name":"product_detail","arguments":{"amzSite":"US","asin":"B07PQFT83F"}}}'

Amazon Competitor Listing Analysis Data Schema & Taxonomy

The skill organizes its output into structured Markdown files located in the /reports directory. Each file follows a standardized naming convention and data taxonomy for easy retrieval.

Data Category Key Metrics Included Storage Location
Basic Info ASIN, Brand, Price, Rating, Sales Est. reports/analysis_{ASIN}_{SITE}_{DATE}.md
Keyword Intel Traffic terms, Natural ranking position, Core exposure Included in MD Report
Review Analysis 4-5 star vs 1-3 star sentiment, Top 3 pain points Included in MD Report
Market Pulse Competitive advantages, Threats, Improvement tips Included in MD Report

Amazon Competitor Listing Analysis Advanced Features

  • Cross-platform integration supporting Amazon (14 sites), TikTok Shop (6 sites), and 1688 sourcing.
  • Automated counter-attack strategy generation based on your own product's core advantages.
  • High-concurrency data fetching to minimize analysis latency.
  • Detailed historical trend analysis for sales, pricing, and BSR rankings over time.
  • Intelligent Unicode decoding for localized content in international marketplaces.

SKILL.md


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